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← Authors

Anqi Liu

32 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (11)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (11) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (133) πŸ’Ž Century Club (31)

Conferences

ICML (6) NIPS (6) AISTATS (5) ACL (4) EMNLP (3) AAAI (2) ICLR (2) IJCAI (1) L4DC (1) RSS (1) UAI (1)

Top co-authors

Animashree Anandkumar (4) Suchi Saria (4) Benjamin Van Durme (4) Drew Prinster (4) Zhengping Jiang (3) Ha Manh Bui (3) Ruiyi Zhang (3) Yisong Yue (3) Jiuxiang Gu (3) Brian Ziebart (3)

Research topics

Models (1) Robotics (1)

Keywords

domain adaptation (6) covariate shift (5) active learning (3) dialogue system (3) uncertainty quantification (3) model calibration (2) generalization bound (2) large language model (2) target-oriented dialogue (2) robust regression (2) imitation learning (2) uncertainty estimation (2) distribution shift (2) offline reinforcement learning (1) policy gradient (1) density estimation (1) algorithmic fairness (1) zero-shot learning (1) question answering (1) structured prediction (1)

Papers

OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive AAAI 2026 Interruption Handling for Conversational Robots RSS 2025 Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits AISTATS 2025 ICL CIPHERS: Quantifying ”Learning” in In-Context Learning via Substitution Ciphers EMNLP 2025 WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales ICML 2025 ODD: Overlap-aware Estimation of Model Performance under Distribution Shift UAI 2025 Core: Robust Factual Precision with Informative Sub-Claim Identification ACL 2025 ADOPD: A Large-Scale Document Page Decomposition Dataset ICLR 2024 SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NIPS 2024 Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation NIPS 2024 RORA: Robust Free-Text Rationale Evaluation ACL 2024 Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024 Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) ICML 2024 Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts ICML 2024 JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023 MTGP: Multi-turn Target-oriented Dialogue Guided by Generative Global Path with Flexible Turns ACL 2023 Double-Weighting for Covariate Shift Adaptation ICML 2023 A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023 Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph ACL 2023 Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach IJCAI 2023 Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023 Calibrating Zero-shot Cross-lingual (Un-)structured Predictions EMNLP 2022 Ambiguous Images With Human Judgments for Robust Visual Event Classification NIPS 2022 JAWS: Auditing Predictive Uncertainty Under Covariate Shift NIPS 2022 Active Learning under Label Shift AISTATS 2021 Robust Fairness Under Covariate Shift AAAI 2021 Robust Regression for Safe Exploration in Control L4DC 2020 Active Learning for Probabilistic Structured Prediction of Cuts and Matchings ICML 2019 Regularized Learning for Domain Adaptation under Label Shifts ICLR 2019 Robust Covariate Shift Regression AISTATS 2016 Adversarial Multiclass Classification: A Risk Minimization Perspective NIPS 2016 Robust Classification Under Sample Selection Bias NIPS 2014